提出一种基于小波变换的迭代正则化图象恢复算法，兼顾抑制噪声的增长和保留图象重要边界。该算法根据图象小波变换各个子频段的不同频率特性和方向特性，分别采用不同的正则化参数和正则化算子。实验结果表明舸用该算法的图象恢复的性能优于常规的空域算法。

A wavelet based on iteration regularized image restoration algorithm is presented. Consideration is given to both the noise suppression and edge preservation. The selection of regularizing operator and regularization parameter is dependent on the frequence and direction feature of each subband.The experiment results show that the proposed algorithm is superior to the general spatial domain algorithm in the quality of the reconstructed image and iterative convergence speed.